“efcbe27263d858dab56ed887b782b2a1e00c318d”上不存在“python/paddle/git@gitcode.net:paddlepaddle/Paddle.git”
名称 最后提交 最后更新
benchmark Modify Pybind LoDTensor API according to length-based LoD (#11106)
cmake add inference lib to release (#11482)
doc Fix the problem that metric cannot display
go Remove cpplint in cmake
paddle Refine detection_map doc.
proto Build: generate all the build related files into one directory. (#9512)
python Refine detection_map doc.
tools Modify Pybind LoDTensor API according to length-based LoD (#11106)
.clang-format fix develop build issue (#10978)
.clang_format.hook clang format with version check (#3513)
.copyright.hook Update .copyright.hook (#10560)
.dockerignore refine docker build
.gitignore Build: generate all the build related files into one directory. (#9512)
.pre-commit-config.yaml Add docstring checker. (#9848)
.style.yapf change python code style to pep8
.travis.yml Add docstring checker. (#9848)
AUTHORS.md add author (#11499)
CMakeLists.txt feature/anakin ci (#11330)
CODE_OF_CONDUCT.md Adding a Code of Conduct for Paddle open source project (#7579)
CODE_OF_CONDUCT_cn.md change CODE_OF_CONDUCT_cn.md from Traditional Chinese to Simplified Chinese
CONTRIBUTING.md fix contribution doc
Dockerfile use apt install -y python-opencv to run flower dataset
Dockerfile.android scripts: clean bash scripts. (#10721)
ISSUE_TEMPLATE.md Revise one word in ISSUE_TEMPLATE.md (#371)
LICENSE Fix the grammar in copyright. (#8403)
README.md Fix two deadlinks in paddle/README.md
RELEASE.cn.md update v0.11.0 release note
RELEASE.md change Fluid description

项目简介

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

:rocket: Github 镜像仓库 :rocket:

源项目地址 :arrow_down: :arrow_down: :arrow_down:

https://github.com/paddlepaddle/paddle

deep-learningdistributed-trainingefficiencymachine-learningneural-networkpaddlepaddlepythonscalability

发行版本 60

PaddlePaddle 2.5.0 Release Note

全部发行版

贡献者 246

全部贡献者

开发语言

  • C++ 49.8 %
  • Python 41.0 %
  • Cuda 7.0 %
  • CMake 1.1 %
  • Shell 0.6 %
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